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Testing local dependence between two point proceses.

Titre :	Testing local dependence between two point proceses. Ajouter au panier
in	Biometrics , Vol. 57 n° 2, 01/06/2001
Auteur(s) :	Denis Allard, Auteur (et co-auteur) Anders Brix, Auteur (et co-auteur) Joël Chadoeuf, Auteur (et co-auteur)
Type de document :	Article
Résumé :	Dependencies between two types of points in a spatial point process can be due either to a real dependence between the two types or to the dependence on common underlying variables. We propose a global test for dependence between two point processes that is valid for a wide range of models. In contrast with previously proposed methods, it is based on a number of local test statistics, which makes it possible to map the local association between the two processes. The behavior of the test is evaluated by a simulation study. It is then applied to a vegetation pattern data set from Burkina Faso.
Article en page(s) :	pp. 508-517
Langue(s) :	Anglais
Lien vers la notice :	https://infodoc.agroparistech.fr/index.php?lvl=notice_display&id=181479